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Title: Calibrating photometric redshifts of luminous red galaxies

Abstract

We discuss the construction of a photometric redshift catalogue of luminous red galaxies (LRGs) from the Sloan Digital Sky Survey (SDSS), emphasizing the principal steps necessary for constructing such a catalogue: (i) photometrically selecting the sample, (ii) measuring photometric redshifts and their error distributions, and (iii) estimating the true redshift distribution. We compare two photometric redshift algorithms for these data and find that they give comparable results. Calibrating against the SDSS and SDSS–2dF (Two Degree Field) spectroscopic surveys, we find that the photometric redshift accuracy is σ~ 0.03 for redshifts less than 0.55 and worsens at higher redshift (~ 0.06 for z < 0.7). These errors are caused by photometric scatter, as well as systematic errors in the templates, filter curves and photometric zero-points. We also parametrize the photometric redshift error distribution with a sum of Gaussians and use this model to deconvolve the errors from the measured photometric redshift distribution to estimate the true redshift distribution. We pay special attention to the stability of this deconvolution, regularizing the method with a prior on the smoothness of the true redshift distribution. The methods that we develop are applicable to general photometric redshift surveys.

Authors:
 [1];  [2];  [1];  [3];  [4];  [5];  [6];  [5];  [7];  [8];  [9];  [10];  [11];  [12];  [8];  [13];  [14];  [6];  [1];  [15] more »;  [16];  [2];  [17] « less
  1. Princeton Univ., Princeton, NJ (United States)
  2. Johns Hopkins Univ., Baltimore, MD (United States)
  3. Queen's Univ., Kingston, ON (Canada)
  4. Apache Point Observatory, Sunspot, MN (United States)
  5. Anglo-Australian Observatory, Epping, NSW (Australia)
  6. Univ. of Pittsburgh, Pittsburgh, PA (United States)
  7. Eotvos Univ., Budapest (Hungary)
  8. Univ. of Queensland (Australia)
  9. Steward Observatory, Tucson, AZ (United States)
  10. Institute of Astronomy, Cambridge (United Kingdom)
  11. Univ. of Sussex, Brighton (United Kingdom)
  12. Univ. of Portsmouth, Portsmouth (United Kingdom)
  13. Australian National Univ., Weston, ACT (Australia)
  14. Pennsylvania State Univ., University Park, PA (United States)
  15. Univ. of Durham, Durham (United Kingdom)
  16. Institute of Astronomy, Honolulu, HI (United States)
  17. Carnegie Mellon Univ., Pittsburgh, PA (United States)
Publication Date:
Research Org.:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC), High Energy Physics (HEP)
OSTI Identifier:
1379844
Grant/Contract Number:  
AC02-05CH11231
Resource Type:
Accepted Manuscript
Journal Name:
Monthly Notices of the Royal Astronomical Society
Additional Journal Information:
Journal Volume: 359; Journal Issue: 1; Journal ID: ISSN 0035-8711
Publisher:
Royal Astronomical Society
Country of Publication:
United States
Language:
English
Subject:
79 ASTRONOMY AND ASTROPHYSICS; catalogues; surveys; galaxies: fundamental parameters

Citation Formats

Padmanabhan, Nikhil, Budavari, Tamas, Schlegel, David J., Bridges, Terry, Brinkmann, Jonathan, Cannon, Russell, Connolly, Andrew J., Croom, Scott M., Csabai, Istvan, Drinkwater, Michael, Eisenstein, Daniel J., Hewett, Paul C., Loveday, Jon, Nichol, Robert C., Pimbblet, Kevin A., De Propris, Robert, Schneider, Donald P., Scranton, Ryan, Seljak, Uros, Shanks, Tom, Szapudi, Istvan, Szalay, Alexander S., and Wake, David. Calibrating photometric redshifts of luminous red galaxies. United States: N. p., 2005. Web. doi:10.1111/j.1365-2966.2005.08915.x.
Padmanabhan, Nikhil, Budavari, Tamas, Schlegel, David J., Bridges, Terry, Brinkmann, Jonathan, Cannon, Russell, Connolly, Andrew J., Croom, Scott M., Csabai, Istvan, Drinkwater, Michael, Eisenstein, Daniel J., Hewett, Paul C., Loveday, Jon, Nichol, Robert C., Pimbblet, Kevin A., De Propris, Robert, Schneider, Donald P., Scranton, Ryan, Seljak, Uros, Shanks, Tom, Szapudi, Istvan, Szalay, Alexander S., & Wake, David. Calibrating photometric redshifts of luminous red galaxies. United States. doi:10.1111/j.1365-2966.2005.08915.x.
Padmanabhan, Nikhil, Budavari, Tamas, Schlegel, David J., Bridges, Terry, Brinkmann, Jonathan, Cannon, Russell, Connolly, Andrew J., Croom, Scott M., Csabai, Istvan, Drinkwater, Michael, Eisenstein, Daniel J., Hewett, Paul C., Loveday, Jon, Nichol, Robert C., Pimbblet, Kevin A., De Propris, Robert, Schneider, Donald P., Scranton, Ryan, Seljak, Uros, Shanks, Tom, Szapudi, Istvan, Szalay, Alexander S., and Wake, David. Sun . "Calibrating photometric redshifts of luminous red galaxies". United States. doi:10.1111/j.1365-2966.2005.08915.x. https://www.osti.gov/servlets/purl/1379844.
@article{osti_1379844,
title = {Calibrating photometric redshifts of luminous red galaxies},
author = {Padmanabhan, Nikhil and Budavari, Tamas and Schlegel, David J. and Bridges, Terry and Brinkmann, Jonathan and Cannon, Russell and Connolly, Andrew J. and Croom, Scott M. and Csabai, Istvan and Drinkwater, Michael and Eisenstein, Daniel J. and Hewett, Paul C. and Loveday, Jon and Nichol, Robert C. and Pimbblet, Kevin A. and De Propris, Robert and Schneider, Donald P. and Scranton, Ryan and Seljak, Uros and Shanks, Tom and Szapudi, Istvan and Szalay, Alexander S. and Wake, David},
abstractNote = {We discuss the construction of a photometric redshift catalogue of luminous red galaxies (LRGs) from the Sloan Digital Sky Survey (SDSS), emphasizing the principal steps necessary for constructing such a catalogue: (i) photometrically selecting the sample, (ii) measuring photometric redshifts and their error distributions, and (iii) estimating the true redshift distribution. We compare two photometric redshift algorithms for these data and find that they give comparable results. Calibrating against the SDSS and SDSS–2dF (Two Degree Field) spectroscopic surveys, we find that the photometric redshift accuracy is σ~ 0.03 for redshifts less than 0.55 and worsens at higher redshift (~ 0.06 for z < 0.7). These errors are caused by photometric scatter, as well as systematic errors in the templates, filter curves and photometric zero-points. We also parametrize the photometric redshift error distribution with a sum of Gaussians and use this model to deconvolve the errors from the measured photometric redshift distribution to estimate the true redshift distribution. We pay special attention to the stability of this deconvolution, regularizing the method with a prior on the smoothness of the true redshift distribution. The methods that we develop are applicable to general photometric redshift surveys.},
doi = {10.1111/j.1365-2966.2005.08915.x},
journal = {Monthly Notices of the Royal Astronomical Society},
number = 1,
volume = 359,
place = {United States},
year = {2005},
month = {5}
}

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Works referenced in this record:

Optical multicolors - A poor person's Z machine for galaxies
journal, March 1985


A New Method For Galaxy Cluster Detection. I. The Algorithm
journal, October 2000

  • Gladders, Michael D.; Yee, H. K. C.
  • The Astronomical Journal, Vol. 120, Issue 4
  • DOI: 10.1086/301557

The Sloan Digital Sky Survey: Technical Summary
journal, September 2000

  • York, Donald G.; Adelman, J.; Anderson, Jr., John E.
  • The Astronomical Journal, Vol. 120, Issue 3
  • DOI: 10.1086/301513

Creating Spectral Templates from Multicolor Redshift Surveys
journal, September 2000

  • Budavári, Tamás; Szalay, Alexander S.; Connolly, Andrew J.
  • The Astronomical Journal, Vol. 120, Issue 3
  • DOI: 10.1086/301514

The Sloan Digital Sky Survey Photometric Camera
journal, December 1998

  • Gunn, J. E.; Carr, M.; Rockosi, C.
  • The Astronomical Journal, Vol. 116, Issue 6
  • DOI: 10.1086/300645

An Optimal Multihump Filter for Photometric Redshifts
journal, June 2001

  • Budavári, Tamás; Szalay, Alexander S.; Csabai, István
  • The Astronomical Journal, Vol. 121, Issue 6
  • DOI: 10.1086/321068

A Photometricity and Extinction Monitor at the Apache Point Observatory
journal, October 2001

  • Hogg, David W.; Finkbeiner, Douglas P.; Schlegel, David J.
  • The Astronomical Journal, Vol. 122, Issue 4
  • DOI: 10.1086/323103

Spectroscopic Target Selection in the Sloan Digital Sky Survey: The Main Galaxy Sample
journal, September 2002

  • Strauss, Michael A.; Weinberg, David H.; Lupton, Robert H.
  • The Astronomical Journal, Vol. 124, Issue 3
  • DOI: 10.1086/342343

An Efficient Targeting Strategy for Multiobject Spectrograph Surveys: the Sloan Digital Sky Survey “Tiling” Algorithm
journal, April 2003

  • Blanton, Michael R.; Lin, Huan; Lupton, Robert H.
  • The Astronomical Journal, Vol. 125, Issue 4
  • DOI: 10.1086/344761

Angular Clustering with Photometric Redshifts in the Sloan Digital Sky Survey: Bimodality in the Clustering Properties of Galaxies
journal, September 2003

  • Budavari, Tamas; Connolly, Andrew J.; Szalay, Alexander S.
  • The Astrophysical Journal, Vol. 595, Issue 1
  • DOI: 10.1086/377168

The Anglo-Australian Observatory 2dF facility
journal, June 2002


Secondary standard stars for absolute spectrophotometry
journal, March 1983

  • Oke, J. B.; Gunn, J. E.
  • The Astrophysical Journal, Vol. 266
  • DOI: 10.1086/160817

Bayesian Photometric Redshift Estimation
journal, June 2000

  • Benitez, Narciso
  • The Astrophysical Journal, Vol. 536, Issue 2
  • DOI: 10.1086/308947

Reconstructing Galaxy Spectral Energy Distributions from Broadband Photometry
journal, January 2000

  • Csabai, I.; Connolly, A. J.; Szalay, A. S.
  • The Astronomical Journal, Vol. 119, Issue 1
  • DOI: 10.1086/301159

ANN z : Estimating Photometric Redshifts Using Artificial Neural Networks
journal, April 2004

  • Collister, Adrian A.; Lahav, Ofer
  • Publications of the Astronomical Society of the Pacific, Vol. 116, Issue 818
  • DOI: 10.1086/383254

Photometric redshifts from evolutionary synthesis with PÉGASE: The code Z-PEG and the $z=0$ age constraint
journal, May 2002


The Sloan Digital Sky Survey Photometric System
journal, April 1996

  • Fukugita, M.; Ichikawa, T.; Gunn, J. E.
  • The Astronomical Journal, Vol. 111
  • DOI: 10.1086/117915

The Redshift Distribution and Luminosity Functions of Galaxies in the Hubble Deep Field
journal, September 1996

  • Gwyn, Stephen D. J.; Hartwick, F. D. A.
  • The Astrophysical Journal, Vol. 468, Issue 2
  • DOI: 10.1086/310237

Average Spectra of Massive Galaxies in the Sloan Digital Sky Survey
journal, March 2003

  • Eisenstein, Daniel J.; Hogg, David W.; Fukugita, Masataka
  • The Astrophysical Journal, Vol. 585, Issue 2
  • DOI: 10.1086/346233

CCD photometry of Abell clusters. I - Magnitudes and redshifts for 84 brightest cluster galaxies
journal, January 1983

  • Schneider, D. P.; Gunn, J. E.; Hoessel, J. G.
  • The Astrophysical Journal, Vol. 264
  • DOI: 10.1086/160602

Sloan Digital Sky Survey: Early Data Release
journal, January 2002

  • Stoughton, Chris; Lupton, Robert H.; Bernardi, Mariangela
  • The Astronomical Journal, Vol. 123, Issue 1
  • DOI: 10.1086/324741

Astrometric Calibration of the Sloan Digital Sky Survey
journal, March 2003

  • Pier, Jeffrey R.; Munn, Jeffrey A.; Hindsley, Robert B.
  • The Astronomical Journal, Vol. 125, Issue 3
  • DOI: 10.1086/346138

The spectral evolution of galaxies. I - an observational approach
journal, October 1985

  • Hamilton, D.
  • The Astrophysical Journal, Vol. 297
  • DOI: 10.1086/163537

Luminous early-type field galaxies at z : 0:4 -- I. Observations and redshift catalogue of 581 galaxies
journal, August 2001


Spectroscopic Target Selection for the Sloan Digital Sky Survey: The Luminous Red Galaxy Sample
journal, November 2001

  • Eisenstein, Daniel J.; Annis, James; Gunn, James E.
  • The Astronomical Journal, Vol. 122, Issue 5
  • DOI: 10.1086/323717

A Catalog of Color-based Redshift Estimates for [ITAL][CLC]z[/CLC][/ITAL] ≲ 4 Galaxies in the Hubble Deep Field
journal, November 1998

  • Wang, Yun; Bahcall, Neta; Turner, Edwin L.
  • The Astronomical Journal, Vol. 116, Issue 5
  • DOI: 10.1086/300592

Stellar population synthesis at the resolution of 2003
journal, October 2003


Estimating photometric redshifts with artificial neural networks
journal, March 2003

  • Firth, Andrew E.; Lahav, Ofer; Somerville, Rachel S.
  • Monthly Notices of the Royal Astronomical Society, Vol. 339, Issue 4
  • DOI: 10.1046/j.1365-8711.2003.06271.x

The First Data Release of the Sloan Digital Sky Survey
journal, October 2003

  • Abazajian, Kevork; Adelman-McCarthy, Jennifer K.; Ageros, Marcel A.
  • The Astronomical Journal, Vol. 126, Issue 4
  • DOI: 10.1086/378165

Colors and magnitudes predicted for high redshift galaxies
journal, July 1980

  • Coleman, G. D.; Wu, C. -C.; Weedman, D. W.
  • The Astrophysical Journal Supplement Series, Vol. 43
  • DOI: 10.1086/190674

A Blind Test of Photometric Redshift Prediction
journal, April 1998

  • Hogg, David W.; Cohen, Judith G.; Blandford, Roger
  • The Astronomical Journal, Vol. 115, Issue 4
  • DOI: 10.1086/300277

Evolution of the Galaxy Population Based on Photometric Redshifts in the Hubble Deep Field
journal, January 1997

  • Sawicki, M. J.; Lin, H.; Yee, H. K. C.
  • The Astronomical Journal, Vol. 113
  • DOI: 10.1086/118231

The Statistical Approach to Quantifying Galaxy Evolution
journal, May 1999

  • Brunner, Robert J.; Connolly, Andrew J.; Szalay, Alexander S.
  • The Astrophysical Journal, Vol. 516, Issue 2
  • DOI: 10.1086/307146

Slicing Through Multicolor Space: Galaxy Redshifts from Broadband Photometry
journal, December 1995

  • Connolly, A. J.; Csabai, I.; Szalay, A. S.
  • The Astronomical Journal, Vol. 110
  • DOI: 10.1086/117720

The Second Data Release of the Sloan Digital Sky Survey
journal, July 2004

  • Abazajian, Kevork; Adelman-McCarthy, Jennifer K.; Agüeros, Marcel A.
  • The Astronomical Journal, Vol. 128, Issue 1
  • DOI: 10.1086/421365

An iterative technique for the rectification of observed distributions
journal, June 1974


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    Dark Energy Survey year 1 results: galaxy sample for BAO measurement
    journal, September 2018

    • Crocce, M.; Ross, A. J.; Sevilla-Noarbe, I.
    • Monthly Notices of the Royal Astronomical Society, Vol. 482, Issue 2
    • DOI: 10.1093/mnras/sty2522

    Data Mining and Machine Learning in Astronomy
    journal, July 2010

    • Ball, Nicholas M.; Brunner, Robert J.
    • International Journal of Modern Physics D, Vol. 19, Issue 07
    • DOI: 10.1142/s0218271810017160

    Pan-STARRS1 variability of XMM-COSMOS AGN: II. Physical correlations and power spectrum analysis
    journal, January 2016


    Dark Energy Survey year 1 results: galaxy sample for BAO measurement
    journal, September 2018

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    • DOI: 10.1093/mnras/sty2522

    Data Mining and Machine Learning in Astronomy
    journal, July 2010

    • Ball, Nicholas M.; Brunner, Robert J.
    • International Journal of Modern Physics D, Vol. 19, Issue 07
    • DOI: 10.1142/s0218271810017160

    Pan-STARRS1 variability of XMM-COSMOS AGN: I. Impact on photometric redshifts⋆⋆⋆
    journal, December 2015


    Baryon Oscillations and Consistency Tests for Photometrically Determined Redshifts of Very Faint Galaxies
    journal, June 2006

    • Zhan, Hu; Knox, Lloyd
    • The Astrophysical Journal, Vol. 644, Issue 2
    • DOI: 10.1086/503622

    Optical Cluster Finding with an Adaptive Matched‐Filter Technique: Algorithm and Comparison with Simulations
    journal, April 2008

    • Dong, Feng; Pierpaoli, Elena; Gunn, James E.
    • The Astrophysical Journal, Vol. 676, Issue 2
    • DOI: 10.1086/522490

    A new Approach to Identifying the most Powerful Gravitational Lensing Telescopes
    journal, May 2013

    • Wong, Kenneth C.; Zabludoff, Ann I.; Ammons, S. Mark
    • The Astrophysical Journal, Vol. 769, Issue 1
    • DOI: 10.1088/0004-637x/769/1/52

    amico galaxy clusters in KiDS-DR3: sample properties and selection function
    journal, January 2019

    • Maturi, Matteo; Bellagamba, Fabio; Radovich, Mario
    • Monthly Notices of the Royal Astronomical Society, Vol. 485, Issue 1
    • DOI: 10.1093/mnras/stz294

    Optimizing galaxy samples for clustering measurements in photometric surveys
    journal, November 2019

    • Tanoglidis, Dimitrios; Chang, Chihway; Frieman, Joshua
    • Monthly Notices of the Royal Astronomical Society, Vol. 491, Issue 3
    • DOI: 10.1093/mnras/stz3281

    Cosmology from cosmic shear power spectra with Subaru Hyper Suprime-Cam first-year data
    journal, March 2019

    • Hikage, Chiaki; Oguri, Masamune; Hamana, Takashi
    • Publications of the Astronomical Society of Japan, Vol. 71, Issue 2
    • DOI: 10.1093/pasj/psz010

    Imprints of primordial non-Gaussianities on large-scale structure: Scale-dependent bias and abundance of virialized objects
    journal, June 2008


    Systematic errors in weak lensing: application to SDSS galaxy-galaxy weak lensing
    journal, August 2005


    The clustering of luminous red galaxies in the Sloan Digital Sky Survey imaging data
    journal, June 2007

    • Padmanabhan, Nikhil; Schlegel, David J.; Seljak, Uroš
    • Monthly Notices of the Royal Astronomical Society, Vol. 378, Issue 3
    • DOI: 10.1111/j.1365-2966.2007.11593.x

    Estimating the redshift distribution of photometric galaxy samples - II. Applications and tests of a new method
    journal, July 2009


    Modelling the angular correlation function and its full covariance in photometric galaxy surveys: Angular clustering in photometric surveys
    journal, March 2011